Spectral and Textural Weighting Using Takagi-Sugeno Fuzzy System for Through Wall Image Enhancement

A through wall image enhancement scheme based on Takagi Sugeno fuzzy system and principal component analysis is proposed. The scheme incorporates spectral properties of image and textural properties of eigen components of image to assign weights. The scheme overcomes the empirical setting of inference engine and output membership functions. Simulation demonstrates the effectiveness of proposed scheme in terms of accuracy.